class_docstr: Group together categories which occurence is less than a specified
  minimum fraction. Coalesced categories get index of one.
code: def fit_transform(self, X, y=None):
      return self.fit(X, y).transform(X)
  
file_path: auto-sklearn/autosklearn/pipeline/implementations/MinorityCoalescer.py
imports: import numpy
  from scipy import sparse
  from sklearn.base import BaseEstimator, TransformerMixin
label_desc: Use image node_id 5 for calling the MinorityCoalescer obj's underlying member method code with example usage: obj.fit_transform(X, y) and returns: self